We propose a novel method for seismic noise attenuation by applying nonstationary polynomial fitting （NPF）, which can estimate coherent components with amplitude variation along the event. The NPF with time-varying ...We propose a novel method for seismic noise attenuation by applying nonstationary polynomial fitting （NPF）, which can estimate coherent components with amplitude variation along the event. The NPF with time-varying coefficients can adaptively estimate the coherent components. The smoothness of the polynomial coefficients is controlled by shaping regularization. The signal is coherent along the offset axis in a common midpoint （CMP） gather after normal moveout （NMO）. We use NPF to estimate the effective signal and thereby to attenuate the random noise. For radial events-like noise such as ground roll, we first employ a radial trace （RT） transform to transform the data to the time-velocity domain. Then the NPF is used to estimate coherent noise in the RT domain. Finally, the coherent noise is adaptively subtracted from the noisy dataset. The proposed method can effectively estimate coherent noise with amplitude variations along the event and there is no need to propose that noise amplitude is constant. Results of synthetic and field data examples show that, compared with conventional methods such as stationary polynomial fitting and low cut filters, the proposed method can effectively suppress seismic noise and preserve the signals.展开更多
近红外光谱的相对测量对实现人体血糖浓度的在体高精度检测具有重要意义。离体检测中常用的相似背景扣除以及双光路设计等方法不适合人体的复杂背景变化,而基于位置的参考测量方法被认为是有希望实现在体参考测量的方法之一。因此课题...近红外光谱的相对测量对实现人体血糖浓度的在体高精度检测具有重要意义。离体检测中常用的相似背景扣除以及双光路设计等方法不适合人体的复杂背景变化,而基于位置的参考测量方法被认为是有希望实现在体参考测量的方法之一。因此课题组提出差动式浮动基准参考测量方法来实现在体的相对测量。差动式浮动基准参考测量方法是一种具有普适性的参考测量方法,在实际应用中面临着径向检测距离的确定和差动检测信号中有效信号提取的问题。在差动式浮动基准参考测量方法的基础上,提出了基于NAS(net analyte signal)-VIP(variable importance in projection)-SPXY(sample set partitioning based on joint X-Y distances)-PLS(partial least square)的差动浮动基准测量方法,在离体实验中验证了该方法的可行性。结果表明经过该方法处理后,模型的均方根误差明显降低,相关系数也有了一定的提高。对该方法在人体实验中的有效性进行了研究,结果也表明该方法处理后所建模型的精密度和准确性有了明显改善。展开更多
基金supported by the National Basic Research Program of China (973 program, grant 2007CB209606) the National High Technology Research and Development Program of China (863 program, grant 2006AA09A102-09)
文摘We propose a novel method for seismic noise attenuation by applying nonstationary polynomial fitting （NPF）, which can estimate coherent components with amplitude variation along the event. The NPF with time-varying coefficients can adaptively estimate the coherent components. The smoothness of the polynomial coefficients is controlled by shaping regularization. The signal is coherent along the offset axis in a common midpoint （CMP） gather after normal moveout （NMO）. We use NPF to estimate the effective signal and thereby to attenuate the random noise. For radial events-like noise such as ground roll, we first employ a radial trace （RT） transform to transform the data to the time-velocity domain. Then the NPF is used to estimate coherent noise in the RT domain. Finally, the coherent noise is adaptively subtracted from the noisy dataset. The proposed method can effectively estimate coherent noise with amplitude variations along the event and there is no need to propose that noise amplitude is constant. Results of synthetic and field data examples show that, compared with conventional methods such as stationary polynomial fitting and low cut filters, the proposed method can effectively suppress seismic noise and preserve the signals.
文摘近红外光谱的相对测量对实现人体血糖浓度的在体高精度检测具有重要意义。离体检测中常用的相似背景扣除以及双光路设计等方法不适合人体的复杂背景变化,而基于位置的参考测量方法被认为是有希望实现在体参考测量的方法之一。因此课题组提出差动式浮动基准参考测量方法来实现在体的相对测量。差动式浮动基准参考测量方法是一种具有普适性的参考测量方法,在实际应用中面临着径向检测距离的确定和差动检测信号中有效信号提取的问题。在差动式浮动基准参考测量方法的基础上,提出了基于NAS(net analyte signal)-VIP(variable importance in projection)-SPXY(sample set partitioning based on joint X-Y distances)-PLS(partial least square)的差动浮动基准测量方法,在离体实验中验证了该方法的可行性。结果表明经过该方法处理后,模型的均方根误差明显降低,相关系数也有了一定的提高。对该方法在人体实验中的有效性进行了研究,结果也表明该方法处理后所建模型的精密度和准确性有了明显改善。
